Multivariate Linear Regression Model for the Impact of China Family Business Succession on R&D Intensity

DOI

10.2991/msbda-19.2019.43How to use a DOI?

Keywords

Family firm, R&D, Succession, Institution environment

Abstract

This study investigates the impact of China family business succession on R&D intensity by multivariate linear regression model and CSMAR data. The regression result shows that succession experience decreases Chinese family firms’ R&D intensity. Moreover, succession timing has a significant positive effect. The higher R&D intensity Chinese family firms do. Post-succession positions of successor are also positively associated with R&D intensity. No significant impacts are located for incumbent-successor relationship and succession order. At last, all control variables among different models show consistent effects on R&D intensity, which suggest robustness of our analyses.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Jun Kong
AU  - Sidi Wang
AU  - Fan Jiang
PY  - 2019/08
DA  - 2019/08
TI  - Multivariate Linear Regression Model for the Impact of China Family Business Succession on R&D Intensity
BT  - Proceedings of the 2019 International Conference on Modeling, Simulation and Big Data Analysis (MSBDA 2019)
PB  - Atlantis Press
SP  - 283
EP  - 287
SN  - 2352-538X
UR  - https://doi.org/10.2991/msbda-19.2019.43
DO  - 10.2991/msbda-19.2019.43
ID  - Kong2019/08
ER  -